Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 245 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0314. Min Act: -0.0002

Data Index: 150944 (C4 (Web Text))

Max Activating Token Index: 892

Text #1

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Data Index: 545862 (C4 (Web Text))

Max Activating Token Index: 393

Text #2

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Data Index: 466728 (C4 (Web Text))

Max Activating Token Index: 883

Text #3

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Max Act: 0.0320. Min Act: -0.0003

Data Index: 939805 (C4 (Web Text))

Max Activating Token Index: 279

Text #4

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Data Index: 760868 (C4 (Web Text))

Max Activating Token Index: 131

Text #5

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Data Index: 808857 (C4 (Web Text))

Max Activating Token Index: 394

Text #6

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Max Activating Token Index: 252

Text #7

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Max Activating Token Index: 959

Text #8

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Max Activating Token Index: 843

Text #9

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Max Activating Token Index: 863

Text #10

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Data Index: 38510 (C4 (Web Text))

Max Activating Token Index: 960

Text #11

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Data Index: 370704 (C4 (Web Text))

Max Activating Token Index: 324

Text #12

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Max Activating Token Index: 69

Text #13

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Max Activating Token Index: 912

Text #14

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Max Activating Token Index: 32

Text #15

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Max Activating Token Index: 390

Text #16

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Max Activating Token Index: 341

Text #17

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Max Activating Token Index: 477

Text #18

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Max Activating Token Index: 126

Text #19

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Data Index: 1140981 (C4 (Web Text))

Max Activating Token Index: 83